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Published on: January 27, 2023
Immense random colocalization, revealed by automated high content image cytometry, seriously questions FISH as gold
Gábor Smuk1, Tamás Tornóczky1, László Pajor1
1Department of Pathology, University of Pécs Medical School, Hungary.
Abstract:
EML4-ALK gene fusion (inv2(p21p23)) of non-small cell lung cancer (NSCLC) predisposes to tyrosine kinase inhibitor treatment. One of the gold standard diagnostics is the dual color (DC) break-apart (BA) FISH technique, however, the unusual closeness of the involved genes has been suggested to raise likelihood of random co-localization (RCL) of signals. Although this is suspected to decrease sensitivity (often to as low as 40-70%), the exact level and effect of RCL has not been revealed thus far. Signal distances were analyzed to the 0.1 µm precision in more than 25,000 nuclei, via automated high content-image cytometry. Negative and positive controls were created using conventional DC BA-, and inv2(p21p23) mimicking probe-sets, respectively. Average distance between red and green signals was 9.72 pixels (px) (±5.14px) and 3.28px (±2.44px), in positives and negatives, respectively; overlap in distribution being 41%. Specificity and sensitivity of correctly determining ALK status was 97% and 29%, respectively. When investigating inv2(p21p23) with DC BA FISH, specificity is high, but seven out of ten aberrant nuclei are inevitably falsely classified as negative, due to the extreme level of RCL. Together with genetic heterogeneity and dilution effect of non-tumor cells in NSCLC, this immense analytical false negativity is the primary cause behind the often described low diagnostic sensitivity. These results convincingly suggest that if FISH is to remain a gold standard for detecting the therapy relevant inv(2), either a modified evaluation protocol, or a more reliable probe-design should be considered than the current DC BA one. © 2018 International Society for Advancement of Cytometry.
Insights
Dual color break-apart FISH for EML4-ALK gene fusions in NSCLC shows high specificity but low sensitivity due to random signal co-localization. This impacts accurate ALK testing for targeted therapies.
Area of Science:
- Oncology
- Molecular Diagnostics
- Cytogenetics
Background:
- EML4-ALK gene fusions are key biomarkers in non-small cell lung cancer (NSCLC), predicting response to tyrosine kinase inhibitors.
- Dual color (DC) break-apart (BA) FISH is a gold standard diagnostic, but its accuracy for inv2(p21p23) is questioned due to potential random co-localization (RCL) of signals.
Purpose of the Study:
- To quantify the level of random co-localization (RCL) in DC BA FISH for EML4-ALK detection in NSCLC.
- To determine the impact of RCL on the diagnostic sensitivity and specificity of this technique for inv2(p21p23).
Main Methods:
- Automated high-content image cytometry analyzed signal distances in over 25,000 nuclei with 0.1 µm precision.
- Negative and positive controls were established using conventional DC BA and mimicking probe-sets for inv2(p21p23).
Main Results:
- Significant overlap (41%) in signal distribution between positive and negative controls was observed, indicating substantial RCL.
- DC BA FISH demonstrated high specificity (97%) but critically low sensitivity (29%) for detecting inv2(p21p23), with 70% of aberrant nuclei falsely classified as negative.
- Extreme RCL was identified as the primary cause of analytical false negativity, exacerbated by tumor heterogeneity and non-tumor cell dilution.
Conclusions:
- Current DC BA FISH protocols exhibit high false negativity for inv2(p21p23) detection in NSCLC due to extensive RCL.
- To maintain FISH as a gold standard for inv(2) detection, modifications to evaluation protocols or probe design are essential to overcome the limitations of RCL.
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